import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import numpy as np
from sklearn.datasets import load_iris

x1 = np.random.randn(100)
x2 = np.random.randn(100)
x3 = np.random.randn(100)
x4 = np.random.randn(100)
x5 = np.random.randint(0, 3, 100)
x = np.c_[x1, x2, x3, x4, x5]
x = pd.DataFrame(x,
                 columns=list('abcde'))
sns.pairplot(x,
             hue='e')
plt.show()
